Vial, J.P.; Lechevalier, N.; Lacombe, F.; Dumas, P.-Y.; Bidet, A.; Leguay, T.; Vergez, F.; Pigneux, A.; Béné, M.C.
Unsupervised Flow Cytometry Analysis Allows for an Accurate Identification of Minimal Residual Disease Assessment in Acute Myeloid Leukemia. Cancers 2021, 13, 629.
https://doi.org/10.3390/cancers13040629
AMA Style
Vial JP, Lechevalier N, Lacombe F, Dumas P-Y, Bidet A, Leguay T, Vergez F, Pigneux A, Béné MC.
Unsupervised Flow Cytometry Analysis Allows for an Accurate Identification of Minimal Residual Disease Assessment in Acute Myeloid Leukemia. Cancers. 2021; 13(4):629.
https://doi.org/10.3390/cancers13040629
Chicago/Turabian Style
Vial, Jean Philippe, Nicolas Lechevalier, Francis Lacombe, Pierre-Yves Dumas, Audrey Bidet, Thibaut Leguay, François Vergez, Arnaud Pigneux, and Marie C. Béné.
2021. "Unsupervised Flow Cytometry Analysis Allows for an Accurate Identification of Minimal Residual Disease Assessment in Acute Myeloid Leukemia" Cancers 13, no. 4: 629.
https://doi.org/10.3390/cancers13040629
APA Style
Vial, J. P., Lechevalier, N., Lacombe, F., Dumas, P.-Y., Bidet, A., Leguay, T., Vergez, F., Pigneux, A., & Béné, M. C.
(2021). Unsupervised Flow Cytometry Analysis Allows for an Accurate Identification of Minimal Residual Disease Assessment in Acute Myeloid Leukemia. Cancers, 13(4), 629.
https://doi.org/10.3390/cancers13040629